PCA outperforms popular hidden variable inference methods for molecular QTL mapping

BACKGROUND: Estimating and accounting for hidden variables is widely practiced as an important step in molecular quantitative trait locus (molecular QTL, henceforth “QTL”) analysis for improving the power of QTL identification. However, few benchmark studies have been performed to evaluate the effic...

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Detalles Bibliográficos
Autores principales: Zhou, Heather J., Li, Lei, Li, Yumei, Li, Wei, Li, Jingyi Jessica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552461/
https://www.ncbi.nlm.nih.gov/pubmed/36221136
http://dx.doi.org/10.1186/s13059-022-02761-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552461/
https://www.ncbi.nlm.nih.gov/pubmed/36221136
http://dx.doi.org/10.1186/s13059-022-02761-4

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